Results 151 to 160 of about 1,249,172 (345)

Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition [PDF]

arXiv, 2017
Unsupervised dependency parsing aims to learn a dependency parser from unannotated sentences. Existing work focuses on either learning generative models using the expectation-maximization algorithm and its variants, or learning discriminative models using the discriminative clustering algorithm.
arxiv  

GENERALIZATION GRADIENTS OF INHIBITION FOLLOWING AUDITORY DISCRIMINATION LEARNING¹ [PDF]

, 1962
H. M. Jenkins, Robert H. Harrison
openalex   +1 more source

A Force Myography (FMG) Armband Based on Micro‐Structured Textile‐Pressure Sensors for Human‐Machine Interface (HMI)

Advanced Sensor Research, EarlyView.
This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane, Hao Zhou, Shen Zhang, Gursel Alici   +3 more
wiley   +1 more source

The effect of age on discrimination learning and self-control in a marshmallow test for pigs. [PDF]

Sci Rep, 2021
Krause A, Kreiser M, Puppe B, Tuchscherer A, Düpjan S.   +4 more
europepmc   +1 more source

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph

Data Science and Engineering
Anomaly detection on attributed graphs is a crucial topic for practical applications. Existing methods suffer from semantic mixture and imbalance issue because they commonly optimize the model based on the loss function for anomaly discrimination, mainly
YanMing Hu, Chuan Chen, BoWen Deng, YuJing Lai, Hao Lin, ZiBin Zheng, Jing Bian   +6 more
doaj   +1 more source

Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning [PDF]

arXiv, 2019
Zero-shot learning (ZSL) aims to recognize the novel object categories using the semantic representation of categories, and the key idea is to explore the knowledge of how the novel class is semantically related to the familiar classes. Some typical models are to learn the proper embedding between the image feature space and the semantic space, whilst ...
arxiv  

TWO TYPES OF BEHAVIORAL CONTRAST IN DISCRIMINATION LEARNING¹ [PDF]

, 1966
T. M. Bloomfield
openalex   +1 more source

Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath

Advanced Sensor Research, EarlyView.
The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak, Manhal Habib, Yoav Y. Broza, Olga Katz, Harry Rakowski, Hossam Haick   +5 more
wiley   +1 more source

Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification [PDF]

arXiv, 2018
Recent work has shown that exploiting relations between labels improves the performance of multi-label classification. We propose a novel framework based on generative adversarial networks (GANs) to model label dependency. The discriminator learns to model label dependency by discriminating real and generated label sets.
arxiv  

SERIAL DISCRIMINATION‐REVERSAL LEARNING WITH AND WITHOUT ERRORS BY THE CALIFORNIA SEA LION¹ [PDF]

, 1966
Ronald J. Schusterman
openalex   +1 more source